On multipoint constraints in FETI methods

IF 0.7 4区 数学 Q4 MATHEMATICS, APPLIED Applications of Mathematics Pub Date : 2025-01-26 DOI:10.21136/AM.2025.0114-24
Pavla Hrušková, Zdeněk Dostál, Oldřich Vlach, Petr Vodstrčil
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引用次数: 0

Abstract

FETI (finite element tearing and interconnecting) based domain decomposition methods are well-established massively parallel methods for solving huge linear systems arising from discretizing partial differential equations. The first steps of FETI decompose the domain into nonoverlapping subdomains, discretize the subdomains using matching grids, and interconnect the adjacent variables by multipoint constraints. However, the multipoint constraints enforcing identification of the corners’ variables do not have a unique representation and their proper choice and modification can improve the performance of FETI. Here, we briefly review the main options, including orthogonal, fully redundant, or localized constraints, and use the basic linear algebra and spectral graph theory to examine the quantitative effect of their choice on the effective control of the feasibility error and rate of convergence of FETI.

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FETI方法中的多点约束
基于FETI (finite element撕裂和互连)的区域分解方法是求解由离散偏微分方程引起的巨大线性系统的成熟的大规模并行方法。FETI的第一步是将域分解为不重叠的子域,使用匹配网格对子域进行离散,并通过多点约束将相邻变量互连。然而,强制角点变量识别的多点约束没有唯一的表示,适当的选择和修改可以提高FETI的性能。本文简要介绍了正交约束、完全冗余约束和局部约束等几种约束选择,并利用基本线性代数和谱图理论分析了它们的选择对FETI可行性误差和收敛速度的有效控制的定量影响。
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来源期刊
Applications of Mathematics
Applications of Mathematics 数学-应用数学
CiteScore
1.50
自引率
0.00%
发文量
0
审稿时长
3.0 months
期刊介绍: Applications of Mathematics publishes original high quality research papers that are directed towards applications of mathematical methods in various branches of science and engineering. The main topics covered include: - Mechanics of Solids; - Fluid Mechanics; - Electrical Engineering; - Solutions of Differential and Integral Equations; - Mathematical Physics; - Optimization; - Probability Mathematical Statistics. The journal is of interest to a wide audience of mathematicians, scientists and engineers concerned with the development of scientific computing, mathematical statistics and applicable mathematics in general.
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